R: High-Level Functions for Tabulating, Charting and Reporting Survey Data

# High-Level Functions for Tabulating, Charting and Reporting Survey Data

## Documentation for package ‘volker’ version 3.3.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

add_clusters | Add cluster number to a data frame
add_factors | Add PCA columns along with summary statistics (KMO and Bartlett test) to a data frame
add_index | Calculate the mean value of multiple items
chatgpt | ChatGPT Adoption Dataset CG-GE-APR23
codebook | Get variable and value labels from a data set
effect_counts | Output effect sizes and test statistics for count data
effect_metrics | Output effect sizes and test statistics for metric data
html_report | Volker style HTML document format
labs_apply | Set column and value labels
labs_clear | Remove all comments from the selected columns
labs_restore | Restore labels from the codebook store in the codebook attribute.
labs_store | Get the current codebook and store it in the codebook attribute.
pdf_report | Volker style PDF document format
plot_counts | Output a frequency plot
plot_metrics | Output a plot with distribution parameters such as the mean values
report_counts | Create table and plot for categorical variables
report_metrics | Create table and plot for metric variables
tab_counts | Output a frequency table
tab_metrics | Output a table with distribution parameters
theme_vlkr | Define a default theme for volker plots